Machine Learning Software Engineering Team Lead

We are Kaizen Gaming

Kaizen Gaming is the leading GameTech company in Greece and one of the fastest-growing in the world, operating in 13 markets with 2 brands, Betano & Stoiximan. 

We always aim to leverage cutting-edge technology, providing the best experience to our millions of customers who trust us for their entertainment.  

We are a diverse team of more than 2.200 Kaizeners, from 40+ nationalities spreading across 3 continents. Our #oneteam is proud to be among the Best Workplaces in Europe and certified Great Place to Work across our offices. Here, there’ll be no average day for you. Ready to press play on potential? 

Let’s start with the role

At Kaizen, our aim is to make data driven decisions in order to automate our services while also focusing on offering tailored customer experiences to our customers. Our machine learning team is dedicated towards this mission by building a variety of models, from binary classification tasks up to recommendation systems. We focus on transforming business needs into production applications, and we cover a wide range of business sectors utilizing different data types and handling a broad project diversity. 

Our teams comprise of three different roles, data scientists, machine learning engineers and data engineers so that they include the full skillset to deliver projects to production.

We are looking for an experienced machine learning engineer to lead our platform team. The team is responsible for the feature store, a central application that computes hundreds of features on a 24 hour basis in real time. It is used to support all ML applications which run predictions on the aforementioned features. The role should combine software engineering skills with strong knowledge of MLOps and machine learning algorithmic understanding.

As a Machine Learning Software Engineering Team Lead you will

• Develop production ready pipelines;
• Implement model diagnostics such as evaluation, monitoring flows etc.;
• Automate model deployment, enable REST API model endpoints;
• Develop scalable model serving flows;
• Work on cluster optimization and scalability;
• Develop and maintain internal tools and libraries;
• Lead the technical decisions and mentor the rest of the team;
• Architecture scalable solutions in a distributed environment;
• Previous experience in managing a team;
• Write CI/CD pipelines.

What you’ll bring

Must have:

• Deep understanding of the ML project lifecycle;
• Hands-on experience with MLOps;
• 5+ years of hands-on experience in Python;
• 2+ years of experience in leading teams;
• Solid software background in OOP;
• Knowledge of version control tools and application development processes;
• Understanding of machine learning algorithms.

Nice to have:

• Understanding of Structured Streaming;
• Experience with Azure / Databricks, Azure DevOps;
• Knowledge of SQL;
• Knowledge of MLflow and/or Kuberflow.

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